A Web-based Geoinformatic Tool to Better Target SLM ... · WOCAT Symposium. 13 June 2017. CIAT HQ,...
Transcript of A Web-based Geoinformatic Tool to Better Target SLM ... · WOCAT Symposium. 13 June 2017. CIAT HQ,...
WOCAT Symposium13 June 2017CIAT HQ, Cali, Colombia
A Web-based Geoinformatic Tool to Better Target SLM Options at Different Scales and Support Achieving LDN
Quang Bao Le (ICARDA)Richard Thomas (ICARDA)Enrico Bonaiuti (ICARDA)Chandra Birarda (ICARDA)Claudio Zucca (ICARDA)Jim Jaspe (IMAP)Bashar Ayyash (IMAP)
Rationale
Sustainable Land Management (SLM) options are fitted to the social, economic and ecological contexts. Example: Reuse crop-livestock residues by compost in Southwestern Burkina
Faso
Source: Thiombiano, Le (2016)
Problems
High contextual diversity of drylands vs. “uniform blanket” approach in promoting SLM over large scales
Lack of tools supporting comparative analyses/assessments of SLM options by context, thereby informing upscaling efforts
GeOC and Its Aims
Global Geo-informatic Options by Context (GeOC) - A framework and web-based tool for defining, monitoring, assessing and co-learning SLM options fitted to the social-ecological contexts 2016: ICARDA funded by CRP Dryland Systems 2017: ICARDA funded by GIZ/BMZ
Aims: to provide land users, projects/programmes and policy decision-makers with a web-based tool as being: plausible, robust extrapolation domains for guiding decisions on
the selection and use of SLM options, an open platform for docking different disciplinary projects into
integrative/holistic and converging actions for promoting SLM at scale.
GeOC’s Conceptual Framework
CONTEXT Multi-dimensional Drivers Land System Properties Needs/preferences
OUTCOMES/IMPACTS NR Restoration, Sustainable
Intensification & Climate-smart Livelihood Development
OPTIONS PORTFOLIO Technical options (E=Land, Water,
G=Breeds, M= design) Institutional options
Etc.
RELEVANCE EFFECTIVENESS
STRESS/POTENTIAL
Feedback to Adaptive behavior
Feedback to Transformative Context
Demand-driven Uses, thereby Learning, Innovating, Diffusion: Use Cases Library
Global comparative learning
Source: Le et al. (2017; in prep.)
Main components of GeOC tool
Sustainable Land Management (SLM)
• Web-based form* for importing standardized and completed SLM options by context
• Database of SLM options by Context
Web-based GIS*• Web-based GIS for key
functions (filtering/querying, zonal statistics, spatial similarity analysis)
• Global GIS database of divers and performance/impact indicators of SLM
MatchedSynchronized
Note: red asteric * refers to complementaty aspects compared to WOCAT
The WebGIS part of GeOC tool
Global GIS data*:
Compiles common intermediate and underlying drivers/causes of land use/management practices: Biophysical, demographic, economic, resource governance/institutional factors (22 global GIS layers)
Includes key indicators for performances and impacts of land management practices: biomass productivity, rain use efficiency, land productivity gap, affected/benefited population (6 indicators in GIS format)
These data are presented in a Global WebGIS tool
Note: red asterisk * refers to complementaty aspects compared to WOCAT
The WebGIS part of GeOC tool
Graphic interface of GeOC’s WebGIS and key functionsLists of GIS data allow users to select contextual criteria, and/or impact indicators for options-by-context analysis
Functions: Basic GIS functions (zooming,
drawing, etc.) Contextual similarity analysis
(delineating similar socio-ecological context over a large area)
Example of context socio-ecological types (CSET)
8Source: Le, Akramkhanov et al. (in prep).
In Uzbek agricultural land, there are 5 typical spatial clusters being different in drivers of land use/management (e.g. soil, land-form, accessibility and economic development) (see map). These drivers shaped land productivity (not shown) Similar studies
done for other land use strata (not shown)
The SLM part of the GeOC
Data entry forms both Excel and web-based form* for standardized description of SLM (adapted from with from WOCAT)
Multi-variate* database rather than static factsheet
Synchronized with the GIS database and tool (WebGIS) to retrieve - hence relate with - contextual and impact variables at larger scale*
Peer-reviewed process for submitted SLM (handled as paper submission to journals)*
Relatively match with WOCAT questionnaire; allow either on- or off-line inputs
Allow user-defined queries in responsive to SLM’s attributes selected (e.g. type, environmental and socio-economic characteristics)
Allow spatially explicit analysis/assessment
Better quality management
Note: red asterisk * refers to complementaty aspects compared to WOCAT
Main features Added values
Web-based SLM interfaces
GeOC’s Key Functions
Web sites and tutorial video clips - in July/August 2017
GeOC tool will be officially launched in July/August 2017: SLM form/data: https://mel.cgiar.org/slm (users’/testers’ registration needed) WebGIS: https://mel.cgiar.org/visualization (users’/testers’registration needed) Approval: http://mel.cgiar.org/approval (only for tool admin) URL to tutorial video clips
Five video clips (preliminary products, currently for internal uses only): Introduction of GeOC tool - motivation, goals, potential users (video clip 1) Introduction of the WebGIS tool- key functions (tutorial video clip 2) General introduction of the web-based SLM input form (tutorial video clip 3) Use case 1: Context-based analysis: searching implemented SLM options with a defined context
(tutorial video clip 4) Use case 2: Option-based analysis: searching similar context(s) given a considered SLM option (tutorial
video clip 5)
Focused countries for collecting/transfering SLM data for piloting GeOC: Tunisia (ICARDA – CRP Dryland Systems Niger, Mali, Ethiopia, Kenya, Tanzania (ICARDA, ICRAF, ICRISAT – EU-IFAD project)
13
TitleThank you!
GeOC’s option-by-context approach: A system-base view
Context (C) x Structure & Function (SF) x Options (OC,SF) = Performance (P)SLM strategies:1. Changeable factors from external context (OC), e.g.
• Smart subsidy policy• Improved market access• Developed, inclusive value
chains• Effective partnerships
2. Alternative farm design/planning/practices (OSF), e.g.
• Improved varieties• Efficient use of inputs• Farm design for subsidiary links
3. All in coping with the Context (C)
1.Manageable driving factors (EXTERNAL CAUSES) as interventional options
2. Underlying social, development, biophysical aspects acting as BOUNDARY CONDITIONS, not necessarily as CAUSES)
Manageable structural, functional factors (not all) as options SYSTEM ENGINEERING
SLM outcomes:1.Total
productivity persistently improved
2.Resource use efficiency
3.System capital build
4.Social equity
Secondary feedback (rebound effect)
Source: Le et al. (2017; in prep.)
Use Cases Approach to cope with diverse users’ needs
Use-case: a sequence of limited, yet guided, steps that describes the interactions between a typical user and the information system to accomplish a typical goal.
Use case library: consists of as many as possible typical use cases, in which a user can find a use case most similar to his/her need to start with.
Strengths of the use case approach: strong analytical perspective and complete analysis assurance, simple and easy to understand and adopt, widely a recognised market standard, encourage join work between users and system designers to develop typical use
case library.